Acute gastrointestinal injury (AGI) has a relatively high prevalence among elderly critically ill patients in non-intensive care units (non-ICUs), and significantly influences their clinical outcomes. Therefore, it is important to identify people at risk for AGI and take preventive measures as early as possible.

We aimed to construct and validate a risk prediction model for AGI in non-ICU elderly critically ill patients.

Case-control study.

In total, 538 elderly critically ill patients admitted to the general medical department of a tertiary hospital in Shanxi from April 2021 to May 2024.

Influential factors for AGI were determined using univariate and multifactorial logistic regression analyses. We constructed a risk prediction model and created a nomogram. The bootstrap resampling method was utilized for internal validation. A total of 151 patients from different time periods were selected for the external validation.

The multifactorial logistic regression analysis revealed that the independent predictors for AGI were the duration of antibiotic use, number of vasoactive drugs, delayed enteral nutrition, age-corrected Charlson comorbidity index, and white blood cell count, all of which were included in the model and created a nomogram. The Omnibus test showed that the overall efficacy of the model was good (P < 0.001). The area under the receiver operating characteristic curve (AUC) was 0.807, the corrected AUC was 0.806, and the AUC was 0.796 for external validation, indicating good model discrimination. The calibration curves and Hosmer-Lemeshow tests revealed that the model was well calibrated (P = 0.627, Brier = 0.172 in internal validation; and P = 0.366, Brier = 0.182 in external validation). The clinical decision curves showed that the model had good clinical utility.

AGI is common in non-ICU elderly critically ill patients. This AGI risk prediction model can be used as a screening tool to identify high-risk patients for AGI and assist clinical decision making.

To evaluate the use of virtual reality-based infrared pupillometry (VIP) to detect individuals with long coronavirus disease (LCVD).

Prospective, case-control cross-sectional study.

Participants 20 to 60 years of age were recruited from a community eye screening program.

Pupillary light responses (PLRs) were recorded in response to 3 intensities of light stimuli (L6, L7, and L8) using a virtual reality head-mount display (VRHMD). Nine PLR waveform features for each stimulus were extracted by 2 masked observers and were analyzed statistically. We also used trained, validated, and tested (6:3:1) methods on the entire PLR waveform by machine learning models for 2-class and 3-class classification into LCVD, post-COVID (PCVD), or control groups.

Accuracies and areas under the receiver operating characteristic curve (AUCs) of individual or a combination of PLR features and machine learning models analyzing PLR features or whole pupillometric waveform.

Pupillary light responses from a total of 185 participants, including 112 in the LCVD group, 44 in the PCVD group, and 29 in the age- and sex-matched control group were analyzed. Models examined the independent effects of age and sex. Constriction time (CT) after the brightest stimulus (L8) is associated significantly with LCVD status (false discovery rate [FDR] < 0.001, 2-way analysis of variance; FDR < 0.05, multinominal logistic regression). The overall accuracy and AUC of CT after L8 alone in differentiating the LCVD group from the control or PCVD group were 0.7808 and 0.8711, respectively, and 0.8654 and 0.8140, respectively. Using cross-validated backward stepwise variable selection, CT after L8, CT after L6, and constriction velocity (CV) after L6 were most useful to detect LCVD, whereas CV after L8 was most useful for distinguishing the PCVD group from other groups. The accuracy and AUC of selected features were 0.8000 and 0.9000 (control vs. LCVD groups) and 0.9062 and 0.9710 (PCVD vs. LCVD groups), respectively, better than when all 27 pupillometric features were combined. A long short-term memory model analyzing whole pupillometric waveform achieved the highest accuracy and AUC at 0.9375 and 1.000 in differentiating the LCVD from PCVD group and a lower accuracy of 0.7838 for 3-class classification (LCVD, PCVD, and control group).

We report specific pupillometric signatures in differentiating LCVD from PCVD or control groups using a VRHMD. Combining statistical methods to identify specific pupillometric features and machine learning algorithms to analyze the whole pupillometric waveform further enhanced the performance of VIP as a nonintrusive, low-cost, portable, and objective method to detect LCVD.

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Long coronavirus disease (COVID) is a heterogeneous clinical condition of uncertain etiology triggered by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here we used ultrasensitive approaches to profile the immune system and the plasma proteome in healthy convalescent individuals and individuals with long COVID, spanning geographically independent cohorts from Sweden and the United Kingdom. Symptomatic disease was not consistently associated with quantitative differences in immune cell lineage composition or antiviral T cell immunity. Healthy convalescent individuals nonetheless exhibited higher titers of neutralizing antibodies against SARS-CoV-2 than individuals with long COVID, and extensive phenotypic analyses revealed a subtle increase in the expression of some co-inhibitory receptors, most notably PD-1 and TIM-3, among SARS-CoV-2 nonspike-specific CD8+ T cells in individuals with long COVID. We further identified a shared plasma biomarker signature of disease linking breathlessness with apoptotic inflammatory networks centered on various proteins, including CCL3, CD40, IKBKG, IL-18 and IRAK1, and dysregulated pathways associated with cell cycle progression, lung injury and platelet activation, which could potentially inform the diagnosis and treatment of long COVID.

Long COVID has emerged as a significant challenge since the COVID-19 pandemic, which was declared as an outbreak in March 2020, marked by diverse symptoms and prolonged duration of disease. Defined by the WHO as symptoms persisting or emerging for at least two months post-SARS-CoV-2 infection without an alternative cause, its prevalence varies globally, with estimates of 10-20% in Europe, 7.3% in the USA, and 3.0% in the UK. The condition's etiology remains unclear, involving factors, such as renin-angiotensin system overactivation, persistent viral reservoirs, immune dysregulation, and autoantibodies. Reactivated viruses, like EBV and HSV-6, alongside epigenetic alterations, exacerbate mitochondrial dysfunction and energy imbalance. Emerging evidence links SARS-CoV-2 to chromatin and gut microbiome changes, further influencing long-term health impacts. Diagnosis of long COVID requires detailed systemic evaluation through medical history and physical examination. Management is highly individualized, focusing mainly on the patient's symptoms and affected systems. A multidisciplinary approach is essential, integrating diverse perspectives to address systemic manifestations, underlying mechanisms, and therapeutic strategies. Enhanced understanding of long COVID's pathophysiology and clinical features is critical to improving patient outcomes and quality of life. With a growing number of cases expected globally, advancing research and disseminating knowledge on long COVID remain vital for developing effective diagnostic and management frameworks, ultimately supporting better care for affected individuals.

Neuroimaging studies have indicated that altered cerebral blood flow (CBF) was associated with the long-term symptoms of postacute sequelae of SARS-CoV-2 infection (PASC), also known as "long COVID". COVID-19 and long COVID were found to be strongly associated with host gene expression. Nevertheless, the relationships between altered CBF, clinical symptoms, and gene expression in the central nervous system (CNS) remain unclear in individuals with long COVID. This study aimed to explore the genetic mechanisms of CBF abnormalities in individuals with long COVID by transcriptomic-neuroimaging spatial association. Lower CBF in the left frontal-temporal gyrus was associated with higher fatigue and worse cognition in individuals with long COVID. This CBF pattern was spatially associated with the expression of 2,178 genes, which were enriched in the molecular functions and biological pathways of COVID-19. Our study suggested that lower CBF is associated with persistent clinical symptoms in long COVID individuals, possibly as a consequence of the complex interactions among multiple COVID-19-related genes, which contributes to our understanding of the impact of adverse CNS outcomes and the trajectory of development to long COVID.

Coronavirus disease-2019 (COVID-19) can cause not only respiratory symptoms but also facial paralysis. Lianhua Qingwen (LHQW) has been reported to have therapeutic effects on COVID-19 and facial neuritis (FN). We explored the potential mechanism of LHQW in the treatment of COVID-19 and FN through a network-pharmacology approach.

Active compounds and relevant targets of LHQW were obtained from the databases of Traditional Chinese Medicine Systems Pharmacology Database, HERB, UniProt Knowledge Base, SwissADME, and Swiss Target Prediction. Disease targets of COVID-19 and FN were acquired from Gene Cards. Database For Annotation, Visualization And Integrated Discovery and Metascape were used to search the biological functions of intersecting targets. After identifying the core targets and their corresponding ingredients, KEGG Mapper analyzes the localization of core targets in key pathways. AutoDock were employed to conduct molecular docking of the core targets and their corresponding ingredients.

We obtained four core genes: interleukin (IL)-8, IL-1B, IL-6, and tumor necrosis factor (TNF)-α. Database searching revealed the anti-inflammatory and antiviral effects of LHQW may be related to the action of aleo-emodin, hyperforin, kaempferol, luteolin, and quercetin on these four genes by regulating the pathways of IL-17 and NOD-like receptor. The molecular-docking results of the four core targets and their corresponding active ingredients showed good binding activity between receptors and ligands.

We uncovered the active ingredients, potential targets, and biological pathways of LHQW for COVID-19 and FN coinfection. Our data provide a theoretical basis for further exploration of the mechanism of action of LHQW in treatment of COVID-19 and FN.

This study aimed to compare flow-mediated dilation values between individuals with long COVID, individuals with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and healthy age-matched controls to assess the potential implications for clinical management and long-term health outcomes.

A case-case-control approach was employed, and flow-mediated dilation measurements were obtained from 51 participants (17 long COVID patients, 17 ME/CFS patients, and 17 healthy age-matched controls). Flow-mediated dilation values were analyzed using 1-way analysis of variance for between-group comparisons.

Results revealed significantly impaired endothelial function in both long COVID and ME/CFS groups compared with healthy age-matched controls as determined by maximum % brachial artery diameter post-occlusion compared with pre-occlusion resting diameter (6.99 ± 4.33% and 6.60 ± 3.48% vs 11.30 ± 4.44%, respectively, both P < .05). Notably, there was no difference in flow-mediated dilation between long COVID and ME/CFS groups (P = .949), despite significantly longer illness duration in the ME/CFS group (ME/CFS: 16 ± 11.15 years vs long COVID: 1.36 ± 0.51 years, P < .0001).

The study demonstrates that both long COVID and ME/CFS patients exhibit similarly impaired endothelial function, indicating potential vascular involvement in the pathogenesis of these post-viral illnesses. The significant reduction in flow-mediated dilation values suggests an increased cardiovascular risk in these populations, warranting careful monitoring and the development of targeted interventions to improve endothelial function and mitigate long-term health implications.

In 2019, emergence of the novel and communicable severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection took scientific communities by surprise and imposed significant burden on healthcare systems globally. Although the advent of this disease piqued the interest of academic centers, healthcare systems, and the general public, there is still much yet to be elucidated regarding epidemiology, pathophysiology, and long-term impacts of coronavirus disease 2019 (COVID-19). It has been established that long COVID-19 can impact multiple organ systems, including the cardiovascular system, unfavorably. Although the pathophysiology of this damage is not well understood, adverse sequelae may range from chest pain and arrhythmias to heart failure (HF), myocardial infarction, or sudden cardiac death. For any postacute COVID-19 patient requiring a surgical procedure, the potential for cardiac injury secondary to long COVID-19 must be considered in the preoperative cardiac examination.

This literature review serves to add to the growing body of literature exploring postacute cardiovascular outcomes of COVID-19, with a focus on presurgical cardiac clearance in the adult patient. Specifically, this review studies the prevalence of cardiovascular symptomatology including chest pain, arrhythmias, blood pressure changes, myo-/pericarditis, HF, cardiomyopathy, orthostatic intolerance, and thromboembolism. Although current evidence is scarce in both quality and quantity, it is the goal that this review will highlight the negative impacts of long COVID-19 on cardiovascular health and encourage providers to be cognizant of potential sequelae in the context of the presurgical examination.

For this study, peer-reviewed and journal-published articles were selected based on established inclusion and exclusion criteria to address the question "How does long COVID-19 impact the presurgical cardiac examination of an adult scheduled to undergo a noncardiac procedure?" Inclusion criteria included human studies conducted in adult patients and published in peer-reviewed journals up until May 2024 examining the effects of long-COVID-19 infection on the cardiovascular system. Exclusion criteria eliminated unpublished reports, preprints, duplicate articles, literature regarding coronavirus strains other than COVID-19, studies regarding post-COVID-19 vaccination complications, animal studies, and studies conducted in people younger than 18 years of age. A total of 6,675 studies were retrieved from PubMed and Google Scholar. Following screening, 60 studies were included in final consideration.

Cardiovascular symptoms of postacute COVID-19 infection were encountered with the following percentages prevalence (total numbers of articles mentioning symptom/total number of articles [60]): chest pain (83.3), arrhythmias (88.3), hypertension (40.0), hypotension (16.7), myocarditis (80.0), pericarditis (51.7), HF (70.0), cardiomyopathy (55.0), orthostatic intolerance (56.7), and thromboembolic events (85.0).

The presence of persisting COVID symptoms may negatively impact the patient's physical examination, blood tests, electrocardiogram (ECG), imaging, and/or echocardiogram. Cardiac conditions associated with long COVID require special attention in the context of the presurgical candidate due to an increased risk of sudden cardiac death, myocarditis, stroke, and myocardial infarction - even in those who were healthy prior to acute COVID-19 infection. Until more specific scientific evidence comes to light, care of these patients should be viewed through the prism of the best practices already in use and clinicians should maintain a low threshold to pursue more extensive cardiac workup prior to surgery.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to widespread post-acute sequelae of COVID-19 (PASC), affecting multiple body systems. Despite its prevalence, PASC's pathogenesis remains unclear, with hypotheses suggesting viral persistence, immune activation, and autoimmune responses among the pathogenetic mechanism. This study aimed to evaluate T cell memory response in PASC patients, one year post-hospital discharge and correlate it with clinical parameters to identify a potential PASC-associated fingerprint.

Peripheral blood mononuclear cells (PBMCs) from PASC patients and healthy controls (HC) were stimulated with a pool of spike peptides. CD4+ and CD8+ T cell responses were evaluated by flow cytometry using the activation-induced markers assay (AIM).

Findings showed significant activation of the CD4+ T cell compartment, with a higher proportion of responders among PASC patients. Central memory (CM) T cells expressing pro-inflammatory cytokines were more prevalent in responders. Clinical correlations revealed higher SARS-CoV-2-specific T cell responses in patients with reduced diffuse lung capacity for carbon monoxide (DLCO) and residual symptoms.

These immune changes, especially in CM T cells, could play a pivotal role in PASC's development and persistence, impacting patients' daily lives.

The COVID-19 pandemic had a profound global impact, characterized by a high fatality rate and the emergence of enduring consequences known as Long COVID. Our study sought to gauge the prevalence of Long COVID syndrome in northeastern Mexico, correlating it with patients' comorbidities and vaccination records. We carried out an observational cross-sectional approach, by administering a comprehensive questionnaire covering patients' medical history, demographics, vaccination status, COVID-related symptoms, their duration, and any treatment received. Our participant cohort included 804 patients, averaging 41.5 (SD 13.6) years in age, with 59.3% being women. Notably, 168 individuals (20.9%) met Long COVID criteria. Our analysis of COVID-19 long lasting compared vaccination schemes, unveiling a significant difference between vaccinated and unvaccinated groups (p =  < 0.001). Through linear regression model, we found male gender (β = - 0.588, p < 0.001) and vaccination status (β = 0.221, p = 0.015) acted as protective factors against Long COVID symptom duration, while higher BMI was a risk factor (β = - 0.131, p = 0.026). We saw that the duration of Long COVID was different within vaccinated patients, and we did not find any association of comorbidities with an increase in the presence of symptoms. Even three years after the pandemic, a significant prevalence of Long COVID persists, and there is still a lack of standardized information and any possible treatment regarding this condition.

One lingering effect of the COVID-19 pandemic created by SARS-CoV-2 is the emergence of Long COVID (LC), characterized by enduring neurological sequelae affecting a significant portion of survivors. This review provides a thorough analysis of these neurological disruptions with respect to cognitive dysfunction, which broadly manifest as chronic insomnia, fatigue, mood dysregulation, and cognitive impairments with respect to cognitive dysfunction. Furthermore, we characterize how diagnostic tools such as PET, MRI, EEG, and ultrasonography provide critical insight into subtle neurological anomalies that may mechanistically explain the Long COVID disease phenotype. In this review, we explore the mechanistic hypotheses of these neurological changes, which describe CNS invasion, neuroinflammation, blood-brain barrier disruption, and gut-brain axis dysregulation, along with the novel vascular disruption hypothesis that highlights endothelial dysfunction and hypoperfusion as a core underlying mechanism. We lastly evaluate the clinical treatment landscape, scrutinizing the efficacy of various therapeutic strategies ranging from antivirals to anti-inflammatory agents in mitigating the multifaceted symptoms of LC.

Extracellular vesicles (EVs) serve as critical mediators of intercellular communication, encompassing exosomes, microvesicles, and apoptotic vesicles that play significant roles in diverse physiological and pathological contexts. Numerous studies have demonstrated that EVs derived from mesenchymal stem cells (MSC-EVs) play a pivotal role in facilitating tissue and organ repair, alleviating inflammation and apoptosis, enhancing the proliferation of endogenous stem cells within tissues and organs, and modulating immune function-these functions have been extensively utilized in clinical applications. The precise classification, isolation, and identification of MSC-EVs are essential for their clinical applications. This article provides a comprehensive overview of the biological properties of EVs, emphasizing both their advantages and limitations in isolation and identification methodologies. Additionally, we summarize the protein markers associated with MSC-EVs, emphasizing their significance in the treatment of various diseases. Finally, this article addresses the current challenges and dilemmas in developing clinical applications for MSC-EVs, aiming to offer valuable insights for future research.

Coronavirus disease-2019 (COVID-19), caused by SARS-CoV-2 virus infection, is characterized as a multisystem disease, potentially yielding multifaceted consequences on various organs at multiple levels. At the end of 2022, over 90% of the Chinese population was infected by SARS-CoV-2 within 35 days because of adjustments to epidemic prevention and control policies. This short-term change provides an unprecedented opportunity for comparative studies on COVID-19 infection among large populations.

In this study, the physical examination data of 136,713 people in the past three consecutive years was employed to study the impact of COVID-19. Standard physical examination data, comprising evaluations of nearly a hundred indicators, were investigated for a comprehensive assessment of COVID-19's effect on human health.

The results suggested that most indicators remained stable or changed within a permissible range after the COVID-19 outbreak in December 2022, but several specific indicators presented abnormal patterns of varying durations. There was an observed increase in the fraction of T-wave abnormalities during the outbreak, especially in people with chronic diseases such as hypertension, liver steatosis, and hyperglycemia.

These findings highlighted the impact of COVID-19 on cardiovascular health and its potential interaction with chronic diseases.

This work was supported by the National Key Research and Development Program of China (2019YFE0108100), the National Natural Science Foundation of China General Program (82270159, 82070147).

Chronic pulmonary diseases pose a prominent health threat globally owing to their intricate pathogenesis and lack of effective reversal therapies. Nowadays, lung transplantation stands out as a feasible treatment option for patients with end-stage lung disease. Unfortunately, the use of this this option is limited by donor organ shortage and severe immunological rejection reactions. Recently, airway basal stem cells (BSCs) have emerged as a novel therapeutic strategy in pulmonary regenerative medicine because of their substantial potential in repairing lung structure and function. Airway BSCs, which are strongly capable of self-renewal and multi-lineage differentiation, can effectively attenuate airway epithelial injury caused by environmental factors or genetic disorders, such as cystic fibrosis. This review comprehensively explores the efficacy and action mechanisms of airway BSCs across various lung disease models and describes potential strategies for inducing pluripotent stem cells to differentiate into pulmonary epithelial lineages on the basis of the original research findings. Additionally, the review also discusses the technical and biological challenges in translating these research findings into clinical applications and offers prospective views on future research directions, therefore broadening the landscape of pulmonary regenerative medicine.

While epidemiological data suggest a connection between atopic dermatitis (AD) and COVID-19, the molecular mechanisms underlying this relationship remain unclear.

To investigate whether COVID-19-related CpGs may contribute to AD development and whether this association is mediated through the regulation of specific genes' expression.

We combined Mendelian randomization and transcriptome analysis for data-driven explorations.

Among the 172 CpGs -associated with COVID-19 infection, merely 3 of them exhibited significant impacts on the risk of AD, including cg04543273, cg11916609, and cg10636246. In the following analysis of the causal effects of CpGs and their related gene expression, cg04543273 inhibited LMAN2 expression. However, there was not a significant impact of cg11916609 and cg10636246 on the expression of their corresponding genes. Besides, transcriptome analysis suggested that LMAN2 expression was significantly upregulated among the COVID-19-infected population, and LMAN2 expression was obviously correlated with Type 2 helper cells across different post-infection time points.

Overall, this study provides new insights of the COVID-19-related onset and exacerbation of AD-COVID-19-related epigenetic changes and their regulatory impact on transcription. A novel role of LMAN2 was proposed in the relationship between viral infection and AD. More studies are warranted to further explore the mechanism of LMAN2-related immunopathology.

The Coronavirus Disease 2019 (COVID-19) pandemic presents a substantial global health challenge. While the disease is known to impact multiple systems, leading to long-term consequences that require monitoring and rehabilitation, its effects on the pelvic floor remain unclear.This study aims to explore COVID-19-related signs and symptoms affecting pelvic floor functions through a scoping review.

We conducted a scoping review following the Arksey and O'Malley framework. A systematic search was performed in PubMed, CINAHL, and Embase databases up to March 19, 2024, to identify studies examining pelvic floor-related signs and symptoms in COVID-19 patients. Two independent reviewers extracted the study and participant characteristics, areas involved (e.g., anorectal, sexual, urogenital), and signs and symptoms using an ad-hoc data extraction form. Signs and symptoms were classified as direct (e.g., directly impacting the pelvic floor) or indirect (e.g., indirectly affecting the pelvic floor with potential long-term consequences).

We included 104 studies, primarily a systematic review (N = 40; 38.46%) and focused on adult populations (N = 80; 76.92%), investigating 140 signs and symptoms from various regions worldwide. Most (N = 124; 88.57%) were indirect signs and symptoms, while the minority were direct (N = 16; 11.43%). The most prevalent indirect symptom was diarrhea (n = 81; 70,43%) in the anorectal bowel area (n = 115). The most prevalent direct were lower urinary tract symptoms (LUTS) (n = 16; 84.21%) in the urogenital area (n = 19).

This study highlights the significant prevalence of both direct and indirect pelvic floor symptoms in COVID-19 patients. Clinicians should be aware of the potential link between COVID-19 and pelvic floor dysfunction.

Long coronavirus disease (COVID) is characterized by symptoms persisting or reappearing at least 2 months post-recovery from acute coronavirus disease 2019 (COVID-19). Although Long COVID symptoms have been widely studied, data on drug prescriptions for patients with Long COVID in Japan remain limited. Therefore, this study aimed to analyze drug utilization patterns for Long COVID treatment using a nationwide database in Japan, with the goal of providing basic data to support the establishment of standard treatments in the future. The Medical Data Vision COVID-19 dataset was used to identify patients diagnosed with Long COVID between January 15, 2020 and December 31, 2022. Symptoms and prescribed medications were extracted, and descriptive statistics were used to analyze the relationship between symptoms and drug prescriptions. Among 652016 patients with COVID-19, 3769 (0.6%) developed Long COVID. Common symptoms included fatigue, bronchial asthma-like symptoms, and insomnia. Acetaminophen was the most prescribed drug in the first month of diagnosis. Other frequently prescribed drugs included dextromethorphan, l-carbocisteine, and polaprezinc. From 3 months post-diagnosis, prescriptions for Hochu-ekki-to (a traditional Japanese herbal medicine; Kampo medicine) and polaprezinc increased, especially among patients aged 30-50 years. Long COVID in Japan is characterized by a wide range of symptoms, leading to symptom-based drug prescriptions, particularly fatigue, respiratory issues, and taste disturbances. These findings offer insights into the pharmacological management of Long COVID in Japan, highlighting the need for further research on optimal treatments in the future.

Hepatocellular carcinoma (HCC) patients with coronavirus disease 2019 (COVID-19) undergoing open surgery show increased adverse events (AEs) and mortality, while the safety of transarterial chemoembolization (TACE) in coinfected patients remains understudied, limiting available evidence. This study aims to investigate the safety of TACE in HCC patients coinfected with COVID-19, and to explore the potential risk factors affecting the occurrence of serious AEs (SAEs), thus providing evidence for clinical treatment strategies in such patients.

This retrospective study involved HCC patients who underwent TACE with or without COVID-19 infection at our institution from November 2022 to February 2023. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used for the diagnosis of COVID-19. Patients were divided into an infected group (diagnosed with COVID-19 within 2 weeks before or after the procedure) and an uninfected group (tested negative for COVID-19). SAEs were ascertained according to the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI-CTCAE) version 5.0. Logistic regression analysis of multiple clinical factors in preoperative baseline characteristics was performed to identify risk factors that might predict the occurrence of SAEs.

A total of 118 patients (73 in the infected group, 45 in the uninfected group) were included, of whom 83.9% were male (86.3% in the infected group vs. 80.0% in the uninfected group) and the median age was 55.9±12.4 years (56.8±12.3 vs. 54.5±12.7 years). The clinical spectrum of COVID-19 in the infected group were 80.8% mild, 13.7% moderate, 1.4% severe and 4.1% critical. Sixteen of the 118 patients experienced SAEs (19.2% vs. 4.4%, P=0.046). The predominant SAEs were respiratory system diseases (9.6% vs. 0.0%) and liver damage (2.7% vs. 2.2%). In the univariate analysis, infection status [odds ratio (OR): 5.102, P=0.04, 95% confidence interval (CI): 1.102-23.627], gender (OR: 2.857, P=0.09, 95% CI: 0.862-9.468), age (OR: 1.061, P=0.03, 95% CI: 1.007-1.118) and clinical spectrum of COVID-19 (OR: 4.259, P<0.001, 1.943-9.336) were considered as the potential risk factors of grade ≥3 AEs. In multivariate analysis, younger age (OR: 1.064, P=0.044, 95% CI: 1.002-1.131) and a milder clinical spectrum of COVID-19 (OR: 5.736, P=0.004, 95% CI: 1.772-18.568) were independent factors associated with a lower occurrence of SAEs.

TACE in HCC patients co-infected with COVID-19 was considered relatively safe. Age and clinical spectrum of COVID-19 were associated with SAEs in HCC patients treated with TACE.

Some of the hospitalized patients after severe COVID-19 pneumonia experience significant fall in peripheral saturation despite optimal treatment. Because of immune dysregulation in COVID-19 there are indications that prolonged corticosteroids could be considered in treating patients for persistent radiological sequelae and respiratory symptoms.

to investigate lung function and lung sequelae on high-resolution CT (HRCT) im COVID-19 patients who were treated with glucocorticoid therapy in two dose regimens with a control group of patients who did not receive additional glucocorticoid therapy.

In this prospective cohort research we studied patients who suffered from prolonged respiratory insufficiency after severe COVID-19 pneumonia. Patients received corticosteroid therapy in two dose regimens: for 14 days and for 3 months after discharge from the hospital. Control group of patients did not receive additional corticosteroid therapy. Lung function, post-COVID-19 symptoms, and lung abnormalities on CT scans were analyzed in three months follow-up and compared with the control group of patients.

Patients who received prolonged corticosteroid therapy for three months did not have better CT findings of lung abnormalities, lung function, or symptoms recovery in comparison to the patients with 14 days of therapy and control group of patients. Onwards, control group had significantly fewer dyspnea symptoms (Chi-square test, p=0,04) and higher DLCO (Kruskal Wallis test, p=0,03).

Supplementary corticosteroid therapy for patients after severe pneumonia and prolonged respiratory insufficiency with lung abnormalities after COVID-19 did not improve lung function or lung lesions on CT.

Survivors of COVID-19 are susceptible to diminished health-related quality of life (HRQoL) and adverse psychological health, which may be exacerbated by their experiences of fear and the impact of the pandemic itself. This study aims to identify distinct fear and impact patterns related to the COVID-19 pandemic among survivors through latent profile analysis (LPA) and examine the associations of fear and impact patterns with post-traumatic stress symptoms (PTSS) and HRQoL. A total of 5,890 Vietnamese COVID-19 survivors completed the COVID-19 Impact Battery- Disability Scale (CIB-D), the Fear of COVID-19 Scale (FCoV-19 S), the Impact of Event Scale-Revised for PTSS, and the 36-Item Short Form Survey (SF-36) for HRQoL. Four distinct groups of fear and impact were identified: "Fearful and highly impacted" (26.8%), "moderately impacted yet not fearful" (22.9%), "less impacted and less fearful" (18.6%), and "mildly impacted and neutral" (31.7%). Survivors who were "less impacted and less fearful" exhibited significantly higher HRQoL scores (regression coefficient, B: 10.9; 95% confidence interval (CI): 10.0 - 11.7), both in terms of physical (B: 12.0; 95%CI: 11.1 - 12.9) and mental health (B: 19.4; 95%CI: 9.6 - 11.1), and lower PTSS levels (B: -24.5; 95%CI: -25.8 - -23.3) compared to those who were "highly impacted and fearful". It is imperative to acknowledge the intricate association between fear, impact, and mental health to comprehensively address the diverse needs of this distinct population post-COVID-19. These findings provide insights for designing interventions and support mechanisms for COVID-19 survivors.

Background/Objectives: The COVID-19 pandemic has led to increased mental health issues, particularly among long-COVID patients, who experience persistent symptoms post-recovery, potentially leading to chronic conditions. The psychological impact of long-COVID is still largely unknown, but it may contribute to mental disorders like Post-Traumatic Stress Disorder (PTSD). Given the global rise in anxiety and depression, exploring therapies like Eye Movement Desensitization and Reprocessing (EMDR) for long-COVID traumatic disorders is crucial. This study explores the effectiveness of remote EMDR therapy for PTSD-like symptoms in long-COVID conditions (LCC), assessing their emergence, the impact of LCC on mental health, and identifying key commonalities. It also examines the potential advantages of an artificial intelligence (AI)-powered platform for EMDR treatments for both therapists and patients, evaluating the response differences between remote and in-person treatment. Methods: We enrolled a total of 160 participants divided into two groups of 80, with the experimental group receiving EMDR treatment for PTSD-like symptoms via a remote AI-powered platform, and the control group receiving traditional in-person therapy. We compared the ANOVA for Subjective Units of Disturbance (SUDs) scores, PTSD Checklist for DSM-5 (PCL-5) scores, and Impact of Event Scale-Revised (IES-R) scores between our two groups for three cases: pre-treatment, post-treatment, and decrement. Results: Statistical significance analysis showed a consistent absence of significant differences between online AI-powered platforms and traditional in-presence sessions. This effectively confirms our hypothesis and highlights that no significant differences were observed between the two groups. Conclusions: The AI-supported remote platform demonstrates comparable efficacy in delivering EMDR therapy, confirming its potential as an effective alternative to traditional in-person methods while providing added advantages in accessibility and adaptability (e.g., remote areas, hikikomori, natural disasters).

To investigate whether COVID-19 infection is a risk factor for incident ocular inflammatory disease.

Retrospective case-crossover study.

The US Veterans Health Administration Corporate Data Warehouse was used to identify patients with positive COVID-19 testing and incident ocular inflammatory disease between March 2020 and May 2022. The timing of incident ocular inflammation and COVID-19 testing was assessed for each participant to determine whether positive COVID-19 testing occurred 0-60 days prior to incident ocular inflammation diagnosis (risk period) or 15-75 days after incident ocular inflammation diagnosis (control period). The main outcome measure was the odds of positive COVID-19 testing in the risk period versus control period.

Of the 1006 patients with incident ocular inflammation and a positive COVID-19 test in the study period, the age mean ± standard deviation was 62.6 ± 9.8 years and 840 (83%) were male. The odds of COVID-19 exposure was higher in the risk than control period (odds ratio [OR], 1.56; 95% confidence interval [CI], 1.04-2.36; P = 0.03). Ocular inflammation was more likely to be bilateral in the risk period (OR, 3.97; 95% CI, 1.01-23.01; P = 0.03). Other ocular features and demographic characteristics were similar in the risk and control periods. Most cases of ocular inflammation were quiescent at the most recent eye examination.

Incident ocular inflammation is associated with COVID-19 infection, but the increased risk is small, and the ocular inflammation is typically acute.

This study investigated the impacts of online and face-to-face Mat Pilates training in adults with persistent symptoms of long COVID on health outcomes. Forty-nine patients (52 ± 5.85 yr.) diagnosed with long COVID related to fatigue symptoms were randomly included in three groups: online Mat Pilates training (n = 16), face-to-face Mat Pilates training (n = 15), and a control group (n = 18) without training. Mat Pilates training was conducted three times a week for 12 weeks. Fatigue, functional capacity, anthropometrics, body composition, and cardiometabolic markers were assessed before and after the interventions. Two-factor Generalized Estimating Equation analyses identified significant differences with Bonferroni post hoc testing (p < 0.05). After the intervention, only the face-to-face Mat Pilates training group had an improved total, physical and mental fatigue, trunk isometric strength, upper limb muscle endurance strength, and aerobic capacity (p < 0.05). No changes were found in fat mass, muscle mass, free fat mass, % of fat, body mass, body mass index, or waist and hip circumferences. No significant changes were observed in blood glucose, glycated hemoglobin, triglycerides, total cholesterol, high-density lipoprotein, low-density lipoprotein, or blood pressure (p > 0.05). Our results highlight the potential of face-to-face Mat Pilates training as an effective intervention to mitigate persistent symptoms of long COVID related to fatigue and functional capacities.

The human genome comprises 8 % of endogenous retroviruses (HERVs). Though HERVS contribute to physiological functions, copies retained pathogenic potential. The HERV-W ENV protein was shown expressed in patients with worse COVID-19 symptoms and post-COVID syndrome. A significant detection of the mRNA encoding HERV-W ENV from patients with COVID-19 in B cells from RNAseq reads obtained from peripheral blond mononuclear cells. This data stratified with increased COVID-19 symptoms or with post-acute sequelae of COVID-19 (long COVID) after 3 months. The HERV-W ENV-U3R RNA was confirmed to display the best alignment with chromosome X ERVWE2 locus. However, a stop codon precluding its translation was re-addressed after recent understandings of ribosome readthrough mechanisms. Experimental results evidenced that this HERV gene can effectively express a full-length protein in the presence of molecules allowing translation via a readthrough mechanism at the ribosome level. Results not only confirm HERV-W ENV RNA origin in these patients but show for the first time how a defective HERV copy can be translated into a complete protein when specific factors make it possible at the ribosome level. The present proof of concept now requires further studies to identify the factors involved in this newly understood mechanism, following SARS-CoV-2 exposure.

The presence of prolonged symptoms after COVID infection worsens the workability and quality of life. 200 adults with long COVID syndrome were enrolled after medical, physical, and mental screening, and were divided into two groups based on their performance. The intervention group (n = 100) received supervised rehabilitation at Department of Pulmonology, Semmelweis University with the registration number 160/2021 between 01/APR/2021-31/DEC/2022, while an age-matched control group (n = 100) received a single check-up. To evaluate the long-term effects of the rehabilitation, the intervention group was involved in a 2- and 3-month follow-up, carrying out cardiopulmonary exercise test. Our study contributes understanding long COVID rehabilitation, emphasizing the potential benefits of structured cardiopulmonary rehabilitation in enhancing patient outcomes and well-being. Significant difference was found between intervention group and control group at baseline visit in pulmonary parameters, as forced vital capacity, forced expiratory volume, forced expiratory volume, transfer factor for carbon monoxide, transfer coefficient for carbon monoxide, and oxygen saturation (all p < 0.05). Our follow-up study proved that a 2-week long, patient-centered pulmonary rehabilitation program has a positive long-term effect on people with symptomatic long COVID syndrome. Our data showed significant improvement between two and three months in maximal oxygen consumption (p < 0.05). Multidisciplinary, individualized approach may be a key element of a successful cardiopulmonary rehabilitation in long COVID conditions, which improves workload, quality of life, respiratory function, and status of patients with long COVID syndrome.

The coronavirus disease of 2019 (COVID-19) pandemic has resulted in a great deal of morbidity and mortality worldwide. Since most deaths related to COVID-19 are currently considered natural, and they tend to occur following a clinically recognized illness, many medical examiner/coroner offices within the United States do not take jurisdiction over the majority of COVID-19 deaths.

In this review, we present the experience of a medium-sized medical examiner's office affiliated with an academic medical school institution, over the first 15 months of the COVID-19 pandemic.

Compared to a 15-month period that immediately preceded the pandemic, our office experienced a significant increase in the total number of reported deaths, scene investigations, full autopsies, natural deaths, accidents, homicides, and drug-related deaths, but a decrease in the number of suicides. Overall, our office performed 5 autopsies during the study period where COVID-19 was considered the primary cause of death, 4 cases where COVID-19 was considered a contributory cause of death, and 28 cases where COVID-19 testing was positive, but COVID-19 was not contributory to death.

The COVID-19 pandemic was accompanied by a sizeable increase in work volume within our academic medical examiner's office. Although this increased workload was not related to a large number of COVID-19-related deaths investigated by the office, there were numerous areas of increased workload that were likely secondarily related to the conditions associated with the pandemic.

The novel coronavirus disease 2019 (Covid-19) outburst is still threatening global health. This highly contagious viral disease is caused by the infection of SARS-CoV-2 virus. Covid-19 and post-Covid-19 complications induce noteworthy mortality. Potential chemical hits and leads against SARS-CoV-2 for combating Covid-19 are urgently required. In the present study, a virtual-screening protocol was executed on potential Amaryllidaceae alkaloids from a pool of natural compound library against SARS-CoV-2 main protease (Mpro) and transmembrane serine protease (TMPRSS2). For the collected 1016 alkaloids from the curated library, initially, molecular docking using AutoDock Vina (ADV), and thereafter 100 ns molecular-dynamic (MD) simulation has been executed for the best top-ranked binding affinity compounds for both the viral and host proteins. Comprehensive intermolecular-binding interactions profile of Amaryllidaceae alkaloids suggested that phyto-compounds Galantamine, Lycorenine, and Neronine as potent modulators of SARS-CoV-2 Mpro and host TMPRSS2 protein. All atomistic long range 100 ns MD simulation studies of each top ranked complex in triplicates also illustrated strong binding affinity of three compounds towards Mpro and TMPRSS2. Identified compounds might be recommended as prospective anti-viral agents for future drug development selectively targeting the SARS-CoV-2 Mpro or blocking host TMPRSS2 receptor, subjected to pre-clinical and clinical assessment for a better understanding of in-vitro molecular interaction and in-vivo validation.Communicated by Ramaswamy H. Sarma.

Differences in acute COVID-19 associated morbidity based on race, ethnicity, and gender have been well described; however, less is known about differences in subsequent longer term health-related quality of life and well-being.

This prospective cohort study included symptomatic adults tested for SARS-CoV-2 who completed baseline and 3-month follow-up surveys. Using the PROMIS-29 tool, a validated measure of health and well-being, we compared outcomes at 3 months and change in outcomes from baseline to 3 months among groups with different races, ethnicities, and/or sexes.

Among 6044 participants, 4113 (3202 COVID +) were included. Among COVID + participants, compared to non-Hispanic White participants, Black participants had better PROMIS T-scores for cognitive function (3.6 [1.1, 6.2]) and fatigue (- 4.3 [- 6.6, - 2.0]) at 3 months and experienced more improvement in fatigue over 3 months (- 2.7 [- 4.7, - 0.8]). At 3 months, compared with males, females had worse PROMIS T-scores for cognitive function (- 4.1 [- 5.6, - 2.6]), physical function (- 2.1 [- 3.1, - 1.0]), social participation (- 2.8 [- 4.2, - 1.5]), anxiety (2.8 [1.5, 4.1]), fatigue (5.1 [3.7, 6.4]), and pain interference (2.0 [0.9, 3.2]). Females experienced less improvement in fatigue over 3 months (3.1 [2.0, 4.3]). Transgender/non-binary/other gender participants had worse 3-month scores in all domains except for sleep disturbance and pain interference.

Three months after the initial COVID-19 infection, Black participants reported better cognitive function and fatigue, while females and other gender minoritized groups experienced lower well-being. Future studies are necessary to better understand how and why social constructs, specifically race, ethnicity, and gender, influence differences in COVID-19-related health outcomes. Trials Registration ClinicalTrials.gov Identifier: NCT04610515.

In patients with severe acute respiratory syndrome coronavirus 2 (which causes coronavirus disease 2019 [COVID-19]), oxidative stress (OS) is associated with disease severity and death. OS is also involved in the pathogenesis of atherosclerosis (AS). Previous studies have shown that geniposide has anti-inflammatory and anti-viral properties, and can protect cells against OS. However, the potential target(s) of geniposide in patients with COVID-19 and AS, as well as the mechanism it uses, are unclear. We combined pharmacology and bioinformatics analysis to obtain geniposide against COVID-19/AS targets, and build protein-protein interaction network to filter hub genes. The hub genes were performed an enrichment analysis by ClueGO, including Gene Ontology and KEGG. The Enrichr database and the target microRNAs (miRNAs) of hub genes were predicted through the MiRTarBase via Enrichr. The common miRNAs were used to construct the miRNAs-mRNAs regulated network, and the miRNAs' function was evaluated by mirPath v3.0 software. Two hundred forty-seven targets of geniposide were identified in patients with COVID-19/AS comorbidity by observing the overlap between the genes modulated by geniposide, COVID-19, and AS. A protein-protein interaction network of geniposide in patients with COVID-19/AS was constructed, and 27 hub genes were identified. The results of enrichment analysis suggested that geniposide may be involved in regulating the OS via the FoxO signaling pathway. MiRNA-mRNA network revealed that hsa-miR-34a-5p may play an important role in the therapeutic mechanism of geniposide in COVID-19/AS patients. Our study found that geniposide represents a promising therapy for patients with COVID-19 and AS comorbidity. Furthermore, the target genes and miRNAs that we identified may aid the development of new treatment strategies against COVID-19/AS.

Paget-Schroetter Syndrome (PSS) is a rare condition characterized by spontaneous thrombosis of the axillary-subclavian vein that occurs predominantly in young athletes engaged in repetitive overhead upper extremity motion, for instance, weightlifting, swimming, baseball, and tennis. PSS is usually a consequence of chronic repetitive microtrauma to the vein intima due to compression of the axillary-subclavian vein by the thoracic outlet structures. This chronic injury can then be acutely exacerbated by vigorous exercise done over a brief period, accelerating thrombus formation. Lack of PSS awareness leads to underdiagnosis, misdiagnosis, or late diagnosis, which can pose life-threatening risks to patients, including pulmonary embolism (PE) and recurrent thrombosis. This case report of a 20-year-old male college athlete exposes a PE caused by PSS, potentially worsened by a delay in diagnosis. Early suspicion and proper management are crucial for optimizing long-term outcomes and facilitating limb rehabilitation. The recommended approach involves early catheter-directed thrombolysis followed by thoracic outlet decompression.

Musculoskeletal pain may occur after becoming infected with SARS-Cov2. This study was designed to evaluate the efficacy of mesotherapy in treating chronic pain following COVID-19 infection.

A retrospective review was conducted of the records of 96 patients with post-COVID pain syndrome. Those who were eligible for oral therapy or mesotherapy, included in the study. Patients receiving oral treatment with diclofenac potassium, thiocolchicoside and cyanocobalamin were included in one group (n = 46), and patients receiving intradermal mesotherapy with 2% lidocaine + cyanocobalamin were included in another group (n = 50). The results of the Visual Analogue Scale (VAS) and the Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) were individually assessed before and one week after the treatment.

The participants were 40.2 ± 11.1 years old on average. Of the participants, 35.4% (n = 34) were male and 64.6% (n = 62) were female. Before treatment, there was no statistically significant difference between the patients in terms of VAS and LANSS scores. Following the treatment, a notable positive response was observed in both groups. Nevertheless, when compared to the oral treatment group, the mesotherapy group exhibited a more pronounced enhancement in VAS and LANSS scores (P < 0.001, P < 0.001, respectively).

While both mesotherapy and oral therapy offer benefits in reducing pain and alleviating neuropathic symptoms in post-COVID pain syndrome, mesotherapy stands out as an especially effective and well-tolerated treatment method, surpassing the efficacy of the oral alternative.

Patients with COVID-19 often experience severe long-term sequelae. This study aimed to assess resilience and Quality of Life (QoL) of patients who underwent mechanical ventilation due to COVID-19, one year after discharge.

This cross-sectional study enrolled patients who received mechanical ventilation for severe COVID-19 and were assessed one-year post-discharge. Participants completed a structured questionnaire via telephone comprising the Connor-Davidson Resilience Scale (CD-RISC) and the Post-COVID-19 Functional Status scale (PCFS). To establish the association between QoL and resilience, Spearman correlations were calculated between the PCFS and the CD-RISC. Linear regression models were adjusted to evaluate which factors were associated with QoL, with the total score of PCFS as the dependent variable.

A total of 225 patients were included in the analysis. The CD-RISC had a median score of 83 (IQR 74-91). The PCFS results showed that 61.3% (n = 138) of the patients were able to resume their daily activities without limitations. Among them, 37.3% (n = 84) were classified as Grade 0 and 24% (n = 54) as Grade 1. Mild and moderate functional limitations were found in 33.7% of the patients, with 24.8% (n = 56) classified as Grade 2 and 8.8% (n = 20) as Grade 3. Severe functional limitations (Grade 4) were observed in 4.8% (n = 11) of the patients. High CD-RISC scores were associated with lower levels of PCFS score (p < 0.001).

In this cohort of critically ill patients who underwent mechanical ventilation due to COVID-19, 38% of patients experienced a significant decline in their QoL one year after hospital discharge. Finally, a high level of resilience was strongly associated with better QoL one year after discharge.

Long COVID, a name often given to the persistent symptoms following acute SARS-CoV-2 infection, poses a multifaceted challenge for health. This review explores the intrinsic relationship between comorbidities and autoimmune responses in shaping the trajectory of long COVID. Autoantibodies have emerged as significant players in COVID-19 pathophysiology, with implications for disease severity and progression. Studies show immune dysregulation persisting months after infection, marked by activated innate immune cells and high cytokine levels. The presence of autoantibodies against various autoantigens suggests their potential as comorbid factors in long COVID. Additionally, the formation of immune complexes may lead to severe disease progression, highlighting the urgency for early detection and intervention. Furthermore, long COVID is highly linked to cardiovascular complications and neurological symptoms, posing challenges in diagnosis and management. Multidisciplinary approaches, including vaccination, tailored rehabilitation, and pharmacological interventions, are used for mitigating long COVID's burden. However, numerous challenges persist, from evolving diagnostic criteria to addressing the psychosocial impact and predicting disease outcomes. Leveraging AI-based applications holds promise in enhancing patient management and improving our understanding of long COVID. As research continues to unfold, unravelling the complexities of long COVID remains paramount for effective intervention and patient care.

In 2023 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was declared endemic, yet hospital admissions have persisted and risen within populations at high and moderate risk of developing severe disease, which include those of older age, and those with co-morbidities. Antiviral treatments, currently only available for high-risk individuals, play an important role in preventing severe disease and hospitalisation within this subpopulation. Here, we further explore the public health and economic benefits of extending target populations for treatment, and assess efficacy thresholds for a treatment strategy to be cost-saving.

We adapted an individual-based transmission model of SARS-CoV-2, OpenCOVID, which was calibrated and validated to 2020-2023 Swiss, European, and Northern Hemisphere epidemiological data. We used the model to estimate hospitalisations and overall costs for preventatively treating three risk groups for a full range of treatment efficacies and coverages with, besides vaccination and hospital treatments, no other interventions in place. We further calculated efficacy thresholds for strategies to be cost-saving. A global sensitivity analysis was conducted to test the sensitivity of all outcomes for a wide range of treatment properties, emerging variant properties, and vaccination coverages.

In a high vaccination coverage setting, we found that a high efficacy antiviral treatment given to all those at high-risk could reduce hospitalisations by up to 40%. When expanding treatment coverage to also include all those at moderate-risk, an additional 50% of hospitalisations could be averted. Targeting both high-risk and moderate-risk groups was found to be cost-saving for a treatment efficacy greater than ∼40%. This threshold was found to be robust regardless of vaccination coverage and emerging variant properties, but highly sensitive to treatment costs.

For a sufficiently efficacious antiviral treatment, expanding the target population to include both high-risk and moderate-risk groups should be considered. Equitable treatment costs are found crucial in achieving the best possible public health and health economic outcomes.

Botnar Research Centre for Child Health (DZX2165 to MAP), the Swiss National Science Foundation Professorship of MAP (P00P3_203450) and Swiss National Science Foundation NFP 78 Covid-19 2020 (4079P0_198428 to MAP).